Computationally Efficient Wideband Spectrum Sensing through Cumulative Distribution Function and Machine Learning

Computationally Efficient Wideband Spectrum Sensing through Cumulative Distribution Function and Machine Learning

Blind spectrum sensing (BSS) is crucial for identifying unknown signals in scenarios with limited prior knowledge. Traditional methods face challenges with unknown and timevarying signals, especially in the presence of noise interference. This paper addresses these issues by introducing a statistica...

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Bibliographic Details
Main Authors: Jakub Nikonowicz, Mieczysław Jessa, Łukasz Matuszewski
Format: Article
Language:English
Published: Croatian Communications and Information Society (CCIS) 2024-03-01
Series:Journal of Communications Software and Systems
Subjects:
blind detection
cumulative distribution function
machine learning
spectrum sensing
unknown signals
Online Access:https://jcoms.fesb.unist.hr/10.24138/jcomss-2023-0175/

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